Alessandro Zinnai is an AI leader with a decade of experience turning advanced LLM and generative-AI research into enterprise-grade products and measurable ROI. Currently coordinating a 12+ person cross-functional team for a €29M Horizon/Swiss initiative with partners like Oxford, ETH Zurich and EPFL, he specializes in scaling multimodal foundation models and adaptive machine translation for global customers. Previously he led Data Science and AI Production at Translated, where he brought ModernMT and LLM-driven localization into Fortune 500 deployments for clients such as Airbnb and Uber. Trained in physics and computational linguistics, he combines rigorous research instincts with product-focused engineering to operationalize unstructured data at scale. Known for blending consortium-level strategy with hands-on pipeline standardization, he often bridges academic advances and time-to-market requirements in ways that directly influence C-level decisions.
10 years of coding experience
4 years of employment as a software developer
Scientific High School Mathematics, Scientific High School Mathematics at Liceo Scientifico Plinio Seniore
Master of Science - MS Artificial Intelligence and Robotics, Master of Science - MS Artificial Intelligence and Robotics at Sapienza Università di Roma
4th Advanced Course on Data Science & Machine Learning Computer Science, 4th Advanced Course on Data Science & Machine Learning Computer Science at Università di Siena
LxMLS 2019 - Lisbon Machine Learning Summer School Computer Science, LxMLS 2019 - Lisbon Machine Learning Summer School Computer Science at Instituto Superior Técnico
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